Meta Financial Stock Forward View

CASH Stock  USD 90.29  0.92  1.03%   
Meta Stock outlook is based on your current time horizon. We recommend always using this module together with an analysis of Meta Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Meta Financial's share price is above 70 as of 31st of January 2026 suggesting that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Meta, making its price go up or down.

Momentum 74

 Buy Stretched

 
Oversold
 
Overbought
The successful prediction of Meta Financial's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Meta Financial Group, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Meta Financial's stock price prediction:
Quarterly Earnings Growth
0.279
EPS Estimate Next Quarter
3.27
EPS Estimate Current Year
8.64
EPS Estimate Next Year
9.61
Wall Street Target Price
100
Using Meta Financial hype-based prediction, you can estimate the value of Meta Financial Group from the perspective of Meta Financial response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Meta Financial using Meta Financial's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Meta using crowd psychology based on the activity and movement of Meta Financial's stock price.

Meta Financial Short Interest

A significant increase or decrease in Meta Financial's short interest from the previous month could be a good indicator of investor sentiment towards Meta. Short interest can provide insight into the potential direction of Meta Financial stock and how bullish or bearish investors feel about the market overall.
200 Day MA
75.8562
Short Percent
0.0693
Short Ratio
5.72
Shares Short Prior Month
1.3 M
50 Day MA
74.4862

Meta Relative Strength Index

The Naive Prediction forecasted value of Meta Financial Group on the next trading day is expected to be 95.43 with a mean absolute deviation of 1.06 and the sum of the absolute errors of 65.85.

Meta Financial Group Hype to Price Pattern

Investor biases related to Meta Financial's public news can be used to forecast risks associated with an investment in Meta. The trend in average sentiment can be used to explain how an investor holding Meta can time the market purely based on public headlines and social activities around Meta Financial Group. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Meta Financial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Meta Financial.

Meta Financial Implied Volatility

    
  0.71  
Meta Financial's implied volatility exposes the market's sentiment of Meta Financial Group stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Meta Financial's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Meta Financial stock will not fluctuate a lot when Meta Financial's options are near their expiration.
The Naive Prediction forecasted value of Meta Financial Group on the next trading day is expected to be 95.43 with a mean absolute deviation of 1.06 and the sum of the absolute errors of 65.85.

Meta Financial after-hype prediction price

    
  USD 91.13  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Meta Financial to cross-verify your projections.

Prediction based on Rule 16 of the current Meta contract

Based on the Rule 16, the options market is currently suggesting that Meta Financial Group will have an average daily up or down price movement of about 0.0444% per day over the life of the 2026-03-20 option contract. With Meta Financial trading at USD 90.29, that is roughly USD 0.0401 . If you think that the market is fully incorporating Meta Financial's daily price movement you should consider acquiring Meta Financial Group options at the current volatility level of 0.71%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-03-20 Meta Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Meta Financial's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Meta Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Meta Financial stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Meta Financial's open interest, investors have to compare it to Meta Financial's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Meta Financial is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Meta. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Meta Financial Additional Predictive Modules

Most predictive techniques to examine Meta price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Meta using various technical indicators. When you analyze Meta charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Meta Financial Cash Forecast

Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Meta Financial's financial statements, enabling forecasts of their impact on future stock prices.
 
Cash  
First Reported
1993-09-30
Previous Quarter
120.6 M
Current Value
331.2 M
Quarterly Volatility
486.8 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
A naive forecasting model for Meta Financial is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Meta Financial Group value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Meta Financial Naive Prediction Price Forecast For the 1st of February

Given 90 days horizon, the Naive Prediction forecasted value of Meta Financial Group on the next trading day is expected to be 95.43 with a mean absolute deviation of 1.06, mean absolute percentage error of 1.87, and the sum of the absolute errors of 65.85.
Please note that although there have been many attempts to predict Meta Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Meta Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Meta Financial Stock Forecast Pattern

Backtest Meta Financial  Meta Financial Price Prediction  Buy or Sell Advice  

Meta Financial Forecasted Value

In the context of forecasting Meta Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Meta Financial's downside and upside margins for the forecasting period are 93.60 and 97.26, respectively. We have considered Meta Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
90.29
95.43
Expected Value
97.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Meta Financial stock data series using in forecasting. Note that when a statistical model is used to represent Meta Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria120.5749
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0621
MAPEMean absolute percentage error0.0143
SAESum of the absolute errors65.8533
This model is not at all useful as a medium-long range forecasting tool of Meta Financial Group. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Meta Financial. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Meta Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Meta Financial Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meta Financial's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
89.3091.1392.96
Details
Intrinsic
Valuation
LowRealHigh
81.2699.87101.70
Details
Bollinger
Band Projection (param)
LowMiddleHigh
65.6777.5089.33
Details
3 Analysts
Consensus
LowTargetHigh
91.00100.00111.00
Details

Meta Financial After-Hype Price Density Analysis

As far as predicting the price of Meta Financial at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Meta Financial or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Meta Financial, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Meta Financial Estimiated After-Hype Price Volatility

In the context of predicting Meta Financial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Meta Financial's historical news coverage. Meta Financial's after-hype downside and upside margins for the prediction period are 89.30 and 92.96, respectively. We have considered Meta Financial's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
90.29
91.13
After-hype Price
92.96
Upside
Meta Financial is very steady at this time. Analysis and calculation of next after-hype price of Meta Financial Group is based on 3 months time horizon.

Meta Financial Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Meta Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Meta Financial backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Meta Financial, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.50 
1.83
  0.84 
 0.00  
8 Events / Month
4 Events / Month
In about 8 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
90.29
91.13
0.93 
109.58  
Notes

Meta Financial Hype Timeline

Meta Financial Group is currently traded for 90.29. The entity has historical hype elasticity of 0.84, and average elasticity to hype of competition of 0.0. Meta is projected to increase in value after the next headline, with the price projected to jump to 91.13 or above. The average volatility of media hype impact on the company the price is about 109.58%. The price growth on the next news is projected to be 0.93%, whereas the daily expected return is currently at 0.5%. The volatility of related hype on Meta Financial is about 30500.0%, with the expected price after the next announcement by competition of 90.29. The company reported the previous year's revenue of 685.23 M. Net Income was 186.79 M with profit before overhead, payroll, taxes, and interest of 786.02 M. Given the investment horizon of 90 days the next projected press release will be in about 8 days.
Check out Historical Fundamental Analysis of Meta Financial to cross-verify your projections.

Meta Financial Related Hype Analysis

Having access to credible news sources related to Meta Financial's direct competition is more important than ever and may enhance your ability to predict Meta Financial's future price movements. Getting to know how Meta Financial's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Meta Financial may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
ASRVAmeriServ Financial 0.09 7 per month 1.86  0.02  2.89 (3.13) 8.63 
BYFCBroadway Financial 0.30 7 per month 2.43  0.05  3.99 (3.68) 25.87 
HFBLHome Federal Bancorp(0.74)8 per month 3.28  0.11  6.92 (3.85) 21.76 
NSTSNSTS Bancorp 0.59 9 per month 0.64  0.12  2.00 (1.61) 7.95 
CLSTCatalyst Bancorp 0.03 8 per month 0.65  0.17  1.90 (1.08) 7.82 
STLEStylesite Marketing 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
FSEAFirst Seacoast Bancorp(0.57)7 per month 2.03  0.06  4.23 (3.38) 25.19 
TECTPTectonic Financial PR(0.01)17 per month 0.00 (0.08) 1.91 (3.14) 9.74 
OPHCOptimumBank Holdings 0.04 9 per month 0.68  0.16  2.19 (1.71) 8.83 
BOTJBank of the 0.21 9 per month 1.21  0.14  2.78 (2.51) 9.56 

Other Forecasting Options for Meta Financial

For every potential investor in Meta, whether a beginner or expert, Meta Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Meta Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Meta. Basic forecasting techniques help filter out the noise by identifying Meta Financial's price trends.

Meta Financial Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Meta Financial stock to make a market-neutral strategy. Peer analysis of Meta Financial could also be used in its relative valuation, which is a method of valuing Meta Financial by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Meta Financial Market Strength Events

Market strength indicators help investors to evaluate how Meta Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Meta Financial shares will generate the highest return on investment. By undertsting and applying Meta Financial stock market strength indicators, traders can identify Meta Financial Group entry and exit signals to maximize returns.

Meta Financial Risk Indicators

The analysis of Meta Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Meta Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meta stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Meta Financial

The number of cover stories for Meta Financial depends on current market conditions and Meta Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Meta Financial is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Meta Financial's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Meta Financial Short Properties

Meta Financial's future price predictability will typically decrease when Meta Financial's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Meta Financial Group often depends not only on the future outlook of the potential Meta Financial's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Meta Financial's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding23.5 M
Cash And Short Term Investments1.1 B
When determining whether Meta Financial Group offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Meta Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Meta Financial Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Meta Financial Group Stock:
Check out Historical Fundamental Analysis of Meta Financial to cross-verify your projections.
You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Is there potential for Regional Banks market expansion? Will Meta introduce new products? Factors like these will boost the valuation of Meta Financial. Projected growth potential of Meta fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about Meta Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.279
Dividend Share
0.2
Earnings Share
8.21
Revenue Per Share
34.294
Quarterly Revenue Growth
0.036
Investors evaluate Meta Financial Group using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Meta Financial's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Meta Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Meta Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Meta Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Meta Financial's market price signifies the transaction level at which participants voluntarily complete trades.